Prompt engineering is the practice of crafting specific input text to optimize the output of language models like ChatGPT, Claude, Mistral, and DeepSeek.
Prompting is crucial as APIs now comprehend English, tools are more agentic, time efficiency is paramount, and non-developers can create workflows using tools like ChatGPT and Zapier.
Prompting combines logic and user experience, urging individuals to think like a teacher, user, and debugger for effective results.
Real-world applications show prompt engineering's efficiency, such as using LLM prompts in automation projects like Selenium test bots, leading to faster iteration and improved user experience.